![]() ![]() HDFS Migration Modernize and simplify your big data storage infrastructure with high-performance, Kubernetes-native object storage from MinIO. Splunk Find out how MinIO is delivering performance at scale for Splunk SmartStores Veeam Learn how MinIO and Veeam have partnered to drive performance and scalability for a variety of backup use cases. No need to move the data, just query using SnowSQL. Snowflake Query and analyze multiple data sources, including streaming data, residing on MinIO with the Snowflake Data Cloud. Commvault Learn how Commvault and MinIO are partnered to deliver performance at scale for mission critical backup and restore workloads. This enables apps and users to directly access trusted data no matter where it resides.Integrations Browse our vast portfolio of integrations SQL Server Discover how to pair SQL Server 2022 with MinIO to run queries on your data on any cloud - without having to move it. HPE Ezmeral Data Fabric is the first solution to unify file, object, NoSQL databases and streams into a single unified data infrastructure and filesystem across on-premises, multi-cloud, and edge environments. ![]() Some examples of these use cases include: analytics, research, internet of things (IoT), and business insights. HPE Ezmeral Data Fabric is the preferred solution for analytics, AI and ML workloads that need high-performance, high-scalability. Simple enterprise backup target storage. ![]() Next tier storage for data offload, e.g., Splunk SmartStore, medical imaging, and HPC archive.Media and ready-to-share data repository.On-premise alternative to public cloud storage from massive scale down to single node edge.HPE Solutions for Scality is the preferred solution for general purpose object storage including: So, by using object storage, Kubernetes can orchestrate infrastructure in a stateless, portable environment.Īs use cases for object storage expanded, so did HPE’s need to offer multiple solutions. This is critical for Kubernetes because it requires the object storage itself to run in the container to be able to manage infrastructure automation. Using object storage, Kubernetes allows operators to handle everything from provisioning to volume placement at scale and with reduced overhead.Īnd when applications run in containers, object storage maintains the state of these applications. As the default platform for Kubernetes, object storage offers the elasticity, scalability, and resilience Kubernetes needs to power its build/package/deploy framework. As a result, the rapid and continuous increase in data volume is leading to an even faster pace for technology development cycles than ever.ĭesigned specifically for an environment of rapid change, Kubernetes has become a dominant force in how operators manage computing, networking, and storage infrastructure. To understand how Kubernetes and object storage intersect, it’s important to understand that fundamentally, data growth drives technologies into obsolescence. And as an additional benefit, object storage eliminates the hierarchical structure of other modes, allowing for higher scalability and more broadly distributed access. This allows users to deploy a wide variety of analytics on large quantities of unstructured data. It can include contextual and customizable information, such as application details, data protection levels, and other information that might pertain to retention policies and other attributes. That leanness makes for extremely high performance for frequently changing data, such as transactional data.īy contrast, object storage adds much more metadata to each file than other storage systems. Because of that, blocks don’t demand much overhead and can be nimbler and more efficient than other systems. Block storage, however, limits the metadata assigned to each data block to a unique identifying address. But because of its hierarchical filing structure, finding one specific piece of information can be tedious at best.īlock-based storage divides data into units that can be spread across a system for more efficient storage. ![]() Because the stored data can be accessed with a simple pathway, it lends itself well to shared file management. Which method to choose depends upon several key characteristics that make use cases better suited for one versus the other.Īs the oldest and simplest data storage method, file-based storage puts data as a single piece of information inside a folder, much like a paper-based system. Data storage comes in three mode categories which serve data access needs differently: object, block, and file. ![]()
0 Comments
Leave a Reply. |